Luciano Floridi
- Safety Research top 0.01%
- Artificial Intelligence top 0.05%
- Sociology and Political Science top 0.1%
- Cognitive Neuroscience top 0.5%
- Information Systems top 0.1%
- Co-authors
- Mariarosaria TaddeoBrent MittelstadtJosh CowlsSandra WachterJessica MorleyJ. W. SandersPatrick AlloJakob Mökander
- Topics
- Ethics and Social Impacts of AI (162 papers)Computability, Logic, AI Algorithms (56 papers)Privacy, Security, and Data Protection (46 papers)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Luciano Floridi
475 papers receiving 21.0k citations
Hit Papers
Peers
Comparison fields: 5 of 230
- Safety Research 7.7k
- Artificial Intelligence 6.4k
- Sociology and Political Science 4.9k
- Cognitive Neuroscience 3.5k
- Information Systems 3.1k
Countries citing papers authored by Luciano Floridi
This map shows the geographic impact of Luciano Floridi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Luciano Floridi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luciano Floridi more than expected).
Fields of papers citing papers by Luciano Floridi
This network shows the impact of papers produced by Luciano Floridi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Luciano Floridi. The network helps show where Luciano Floridi may publish in the future.
Co-authorship network of co-authors of Luciano Floridi
This figure shows the co-authorship network connecting the top 25 collaborators of Luciano Floridi. A scholar is included among the top collaborators of Luciano Floridi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Luciano Floridi. Luciano Floridi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 16 | |
| 3 | 2 | |
| 4 | 23 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 24 | |
| 9 | 15 | |
| 10 | 7 | |
| 11 | 6 | |
| 12 | AI as Agency Without Intelligence: on ChatGPT, Large Language Models, and Other Generative Modelsbreakdown → | 148 |
| 13 | 6 | |
| 14 | 5 | |
| 15 | Taking AI risks seriously: a new assessment model for the AI Actbreakdown → | 49 |
| 16 | Accountability in artificial intelligence: what it is and how it worksbreakdown → | 130 |
| 17 | 27 | |
| 18 | 17 | |
| 19 | Pasos a seguir para la filosofía de la información | 1 |
| 20 | Turing’s imitation game: still an impossible challenge for all machines and some judges | 2 |
About Luciano Floridi
Luciano Floridi is a scholar working on Health Informatics, Safety Research and Philosophy, having authored 522 papers that have together received 23.0k indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (162 papers), Computability, Logic, AI Algorithms (56 papers) and Privacy, Security, and Data Protection (46 papers). The work is most often cited by research in Health Informatics (3.0k citations), Safety Research (7.7k citations) and Artificial Intelligence (6.4k citations). Luciano Floridi has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Mariarosaria Taddeo, Brent Mittelstadt, Josh Cowls, Sandra Wachter, Jessica Morley, J. W. Sanders, Patrick Allo, Jakob Mökander, Christopher Burr and Andreas Tsamados. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.